Job Overview Join our dynamic team as a Data Analyst Intern and immerse yourself in the exciting world of data analytics and business intelligence! This paid internship offers a unique opportunity to develop your technical skills, gain hands-on experience with industry-leading tools, and contribute to impactful data-driven decision-making processes. You will work closely with experienced analysts and project managers to support data collection, analysis, visualization, and reporting initiatives that drive strategic insights across various departments. If you're passionate about transforming raw data into meaningful stories and eager to grow your expertise in analytics, this role is perfect for you! Responsibilities Assist in designing and developing data models, dashboards, and reports using tools such as Tableau, Power BI, and Looker to visualize key business metrics. Support the extraction, transformation, and loading (ETL) of data from diverse sources into SQL databases like Microsoft SQL Server and Oracle, ensuring data quality and integrity. Collaborate on requirements analysis to understand stakeholder needs and translate them into technical specifications for dashboards and reports. Contribute to the software development lifecycle (SDLC) by participating in planning, testing, and documentation activities for analytics projects. Help maintain and optimize SQL queries, stored procedures, and database structures to improve query performance and data accessibility. Assist in conducting data analysis using Excel, R, Python, or other analytics tools to identify trends, patterns, and insights that support business objectives. Support the development of dashboards and reports that enable effective decision-making through clear data visualization and storytelling. Skills Proficiency with data visualization tools such as Tableau, Power BI, or Looker for dashboard development and reporting. Strong understanding of SQL databases including query management, database design, and data modeling techniques. Experience with ETL processes using tools like Talend or scripting languages such as Python or Bash (Unix shell). Knowledge of business intelligence concepts including requirements analysis, dashboarding best practices, and analytics methodologies. Familiarity with the software development lifecycle (SDLC), Agile methodologies, and project management principles. Ability to analyze complex datasets using Excel data analysis features or statistical programming languages like R. Technical proficiency in database management systems such as Microsoft SQL Server or Oracle; experience with VBA is a plus. Understanding of linked data concepts for integrating disparate datasets effectively. Excellent analysis skills with a focus on accuracy, detail orientation, and problem-solving capabilities. Embark on this journey with us to sharpen your analytical skills while making a tangible impact through innovative data solutions!